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Research Fellow

University Campus Bio-Medico of Rome

Multimodal and Generative AI solution for diagnosis, prognosis and treatment support.

Graduate Research Associate, Unit of Computer Systems & Bioinformatics (CoSBi)

University Campus Bio-Medico of Rome

Supported research projects on machine-learning pipelines for health-care applications.

Ph.D. in AI

University Campus Bio-Medico of Rome

Artificial Intelligence – Health & Life Sciences

Master’s Degree

University Campus Bio-Medico of Rome

Biomedical Engineering (E-Health Systems)

• Machine Learning & Big Data Analysis
• IoT System Design
• Telematic Applications
• Industrial Informatics
• Image Processing

Bachelor’s Degree

University Campus Bio-Medico of Rome

Industrial Engineering

• Modular Programming
• Signal Processing
• Fundamentals of Informatics

High-School Diploma

Liceo Classico Dante

Classical Studies

Mask-Aware Transformers Enable Robust Learning from Incomplete Volumetric Medical Imaging

Springer, Cham

Long-term outcomes from pembrolizumab monotherapy in patients with advanced NSCLC, PD-L1 expression ≥ 50%, and poor performance status: Transformer-based AI to characterize prognostic complexity

Lung Cancer

Transformer-based AI approach to unravel long-term, time-dependent prognostic complexity in patients with advanced NSCLC and PD-L1≥50%: insights from the pembrolizumab 5-year global registry

Journal for Immunotherapy of Cancer

MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data

Computers in Biology and Medicine

A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications

Image and Vision Computing

A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values

Computer Methods and Programs in Biomedicine

A Cascade of Learners for Firemen’s Emergency Events Classification

IEEE Access

A Multimodal Ensemble Driven by Multi-objective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer

Journal of Imaging